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https://github.com/iiasa/ipcc_sr15_scenario_analysis

Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C
https://github.com/iiasa/ipcc_sr15_scenario_analysis

climate-change climate-change-mitigation integrated-assessment ipcc pathway-analysis scenario sr15

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Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C

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README 

        
# Scenario analysis notebooks 
for the *IPCC Special Report on Global Warming of 1.5°C*



## License



Copyright 2018-2019 IIASA



Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at



    http://www.apache.org/licenses/LICENSE-2.0



Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.



## Overview



The notebooks included in this repository implement the categorisation of

scenarios by climate impact and generate figures, tables, summary statistics,

and assessment indicators used in the **IPCC Special Report on Global Warming

of 1.5°C** ([SR15](http://www.ipcc.ch/report/sr15/)).



See [assessment/README](assessment/README.md) for an overview of notebooks

and the cross-references to figures, tables and assessment in the SR15.



A rendered version of this repository and the notebooks are available at

[data.ene.iiasa.ac.at/sr15_scenario_analysis](https://data.ene.iiasa.ac.at/sr15_scenario_analysis).



## Data release notes



We are using this repository to track data issues identified in the scenario

ensemble. Please check the [related issues labeled 'iamc15 data issue'](https://github.com/iiasa/ipcc_sr15_scenario_analysis/issues?utf8=✓&q=label%3A%22iamc15+data+issue%22+)

and the [data release notes](DATA_RELEASE_NOTES.md) in this repository.



## Scenario ensemble download



The scenario ensemble used for this assessment 

and the metadata table of scenario categorisation and quantitative indicators

are available for download via

the [IAMC 1.5°C Scenario Explorer](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer).



The scenario data is released under a custom license.

If appropriate reference is made to the data source, it is permitted to use

the data for scientific research and science communication.

However, redistribution of substantial portions of the data is restricted.



Please read the guidelines and legal code

at [data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license)

before redistributing this data or adapted material.



When using the scenario data for any analysis, figures or tables,

please clearly state the release version of the scenario ensemble.



## Scientific references



For the **scientific assessment of the Special Report**, please cite:

> Joeri Rogelj, Drew Shindell, Kejun Jiang,

> Solomone Fifita, Piers Forster, Veronika Ginzburg, Collins Handa,

> Haroon Kheshgi, Shigeki Kobayashi, Elmar Kriegler, Luis Mundaca,

> Roland Séférian, and Maria Virginia Vilariño.  

> *Mitigation pathways compatible with 1.5°C

> in the context of sustainable development*,  

> in "Special Report on Global Warming of 1.5°C (SR15)".

> Intergovernmental Panel on Climate Change: Geneva, 2018.  

> url: [www.ipcc.ch/report/sr15/](https://www.ipcc.ch/report/sr15/)



For a **high-level description of the scenario ensemble**, please refer to:

> Daniel Huppmann, Joeri Rogelj, Elmar Kriegler, Volker Krey, and Keywan Riahi.  

> A new scenario resource for integrated 1.5 °C research.  

> *Nature Climate Change*, 2018.  

> doi: [10.1038/s41558-018-0317-4](https://doi.org/10.1038/s41558-018-0317-4)



When using the **scenario ensemble data** for own analysis, please cite:

> Daniel Huppmann, Elmar Kriegler, Volker Krey, Keywan Riahi, Joeri Rogelj,

> Katherine Calvin, Florian Humpenoeder, Alexander Popp,

> Steven K. Rose, John Weyant, et al.,  

> *IAMC 1.5°C Scenario Explorer and Data hosted by IIASA*.  

> Integrated Assessment Modeling Consortium & International Institute for Applied Systems Analysis, 2019.  

> doi: [10.5281/zenodo.33633459](https://doi.org/10.5281/zenodo.3363345) |

> url: [data.ene.iiasa.ac.at/iamc-1.5c-explorer](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer)



For the **Jupyter notebooks containing figure plotting and analysis scripts**

included in this repository, please cite:

> Daniel Huppmann et al.,

> *Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C*. 2018.  

> doi: [10.22022/SR15/08-2018.15428](https://doi.org/10.22022/SR15/08-2018.15428) |

> url: [github.com/iiasa/ipcc_sr15_scenario_analysis](https://github.com/iiasa/ipcc_sr15_scenario_analysis)



Please refer to the [AUTHORS](AUTHORS.md) document for the full list of authors

of the scenario ensemble and the notebooks in this repository.



You can download these citations and the references

for all studies that submitted scenarios to the ensemble

as [Endnote (enl)](bibliography/iamc_1.5c_scenario_data.enl),

[Reference Manager (ris)](bibliography/iamc_1.5c_scenario_data.ris),

and [BibTex (bib)](bibliography/iamc_1.5c_scenario_data.bib) format.



## Dependencies



The notebooks included in this repository depend on the *pyam* package,

an open-source Python package for IAM scenario analysis and visualization

developed by Matthew Gidden ([@gidden](https://github.com/gidden))

and Daniel Huppmann ([@danielhuppmann](https://github.com/danielhuppmann/)).



See [pyam-iamc.readthedocs.io](https://pyam-iamc.readthedocs.io)

for installation instructions and the full documentation of *pyam*.

The source code is available at [github.com/IAMconsortium/pyam](https://github.com/IAMconsortium/pyam).